Connotation Frames of Power and Agency in Modern Films. - Maarten Sap; Marcella Cindy Prasettio; Ari Holtzman; Hannah Rashkin; Yejin Choi 001 (EMNLP, 2017)

Learning to Write with Cooperative Discriminators. - Ari Holtzman; Jan Buys; Maxwell Forbes; Antoine Bosselut; David Golub; Yejin Choi 001 (ACL (1), 2018)

Simulating Action Dynamics with Neural Process Networks. - Antoine Bosselut; Omer Levy; Ari Holtzman; Corin Ennis; Dieter Fox; Yejin Choi 001 (ICLR (Poster), 2018)

Sounding Board: A User-Centric and Content-Driven Social Chatbot. - Hao Fang 002; Hao Cheng 002; Maarten Sap; Elizabeth Clark; Ari Holtzman; Yejin Choi 001; Noah A. Smith; Mari Ostendorf (NAACL-HLT (Demonstrations), 2018)

HellaSwag: Can a Machine Really Finish Your Sentence? - Rowan Zellers; Ari Holtzman; Yonatan Bisk; Ali Farhadi; Yejin Choi 001 (ACL (1), 2019)

Do Neural Language Representations Learn Physical Commonsense? - Maxwell Forbes; Ari Holtzman; Yejin Choi 001 (CogSci, 2019)

Tactical Rewind: Self-Correction via Backtracking in Vision-And-Language Navigation. - Liyiming Ke; Xiujun Li; Yonatan Bisk; Ari Holtzman; Zhe Gan; Jingjing Liu 001; Jianfeng Gao 001; Yejin Choi 001; Siddhartha S. Srinivasa (CVPR, 2019)

Counterfactual Story Reasoning and Generation. - Lianhui Qin; Antoine Bosselut; Ari Holtzman; Chandra Bhagavatula; Elizabeth Clark; Yejin Choi 001 (EMNLP/IJCNLP (1), 2019)

BottleSum: Unsupervised and Self-supervised Sentence Summarization using the Information Bottleneck Principle. - Peter West; Ari Holtzman; Jan Buys; Yejin Choi 001 (EMNLP/IJCNLP (1), 2019)

Defending Against Neural Fake News. - Rowan Zellers; Ari Holtzman; Hannah Rashkin; Yonatan Bisk; Ali Farhadi; Franziska Roesner; Yejin Choi 001 (NeurIPS, 2019)

The Curious Case of Neural Text Degeneration. - Ari Holtzman; Jan Buys; Maxwell Forbes; Yejin Choi 001 (CoRR, 2019)

Cooperative Generator-Discriminator Networks for Abstractive Summarization with Narrative Flow. - Saadia Gabriel; Antoine Bosselut; Ari Holtzman; Kyle Lo; Asli Celikyilmaz; Yejin Choi 001 (CoRR, 2019)

Experience Grounds Language. - Yonatan Bisk; Ari Holtzman; Jesse Thomason; Jacob Andreas; Yoshua Bengio; Joyce Chai; Mirella Lapata; Angeliki Lazaridou; Jonathan May; Aleksandr Nisnevich; Nicolas Pinto; Joseph P. Turian (EMNLP (1), 2020)

Abductive Commonsense Reasoning. - Chandra Bhagavatula; Ronan Le Bras 001; Chaitanya Malaviya; Keisuke Sakaguchi; Ari Holtzman; Hannah Rashkin; Doug Downey; Wen-tau Yih; Yejin Choi 001 (ICLR, 2020)

The Curious Case of Neural Text Degeneration. - Ari Holtzman; Jan Buys; Li Du; Maxwell Forbes; Yejin Choi 001 (ICLR, 2020)

Evaluating Machines by their Real-World Language Use. - Rowan Zellers; Ari Holtzman; Elizabeth Clark; Lianhui Qin; Ali Farhadi; Yejin Choi 001 (CoRR, 2020)

Reflective Decoding: Unsupervised Paraphrasing and Abductive Reasoning. - Peter West; Ximing Lu; Ari Holtzman; Chandra Bhagavatula; Jena D. Hwang; Yejin Choi 001 (CoRR, 2020)

MultiTalk: A Highly-Branching Dialog Testbed for Diverse Conversations. - Yao Dou; Maxwell Forbes; Ari Holtzman; Yejin Choi 001 (AAAI, 2021)

Reflective Decoding: Beyond Unidirectional Generation with Off-the-Shelf Language Models. - Peter West; Ximing Lu; Ari Holtzman; Chandra Bhagavatula; Jena D. Hwang; Yejin Choi 001 (ACL/IJCNLP (1), 2021)

PIGLeT: Language Grounding Through Neuro-Symbolic Interaction in a 3D World. - Rowan Zellers; Ari Holtzman; Matthew E. Peters; Roozbeh Mottaghi; Aniruddha Kembhavi; Ali Farhadi; Yejin Choi 001 (ACL/IJCNLP (1), 2021)

Discourse Understanding and Factual Consistency in Abstractive Summarization. - Saadia Gabriel; Antoine Bosselut; Jeff Da; Ari Holtzman; Jan Buys; Kyle Lo; Asli Celikyilmaz; Yejin Choi 001 (EACL, 2021)

CLIPScore: A Reference-free Evaluation Metric for Image Captioning. - Jack Hessel; Ari Holtzman; Maxwell Forbes; Ronan Le Bras 001; Yejin Choi 001 (EMNLP (1), 2021)

Surface Form Competition: Why the Highest Probability Answer Isn't Always Right. - Ari Holtzman; Peter West; Vered Shwartz; Yejin Choi 001; Luke Zettlemoyer (EMNLP (1), 2021)

TuringAdvice: A Generative and Dynamic Evaluation of Language Use. - Rowan Zellers; Ari Holtzman; Elizabeth Clark; Lianhui Qin; Ali Farhadi; Yejin Choi 001 (NAACL-HLT, 2021)

Rethinking the Role of Demonstrations: What Makes In-Context Learning Work? - Sewon Min; Xinxi Lyu; Ari Holtzman; Mikel Artetxe; Mike Lewis; Hannaneh Hajishirzi; Luke Zettlemoyer (EMNLP, 2022)

DEMix Layers: Disentangling Domains for Modular Language Modeling. - Suchin Gururangan; Mike Lewis; Ari Holtzman; Noah A. Smith; Luke Zettlemoyer (NAACL-HLT, 2022)

Contrastive Decoding: Open-ended Text Generation as Optimization. - Xiang Lisa Li; Ari Holtzman; Daniel Fried; Percy Liang; Jason Eisner; Tatsunori Hashimoto; Luke Zettlemoyer; Mike Lewis (ACL (1), 2023)

What Do NLP Researchers Believe? Results of the NLP Community Metasurvey. - Julian Michael; Ari Holtzman; Alicia Parrish; Aaron Mueller; Alex Wang; Angelica Chen; Divyam Madaan; Nikita Nangia; Richard Yuanzhe Pang; Jason Phang; Samuel R. Bowman (ACL (1), 2023)

Toward Human Readable Prompt Tuning: Kubrick's The Shining is a good movie, and a good prompt too? - Weijia Shi; Xiaochuang Han; Hila Gonen; Ari Holtzman; Yulia Tsvetkov; Luke Zettlemoyer (EMNLP (Findings), 2023)

QLoRA: Efficient Finetuning of Quantized LLMs. - Tim Dettmers; Artidoro Pagnoni; Ari Holtzman; Luke Zettlemoyer (NeurIPS, 2023)

Generative Models as a Complex Systems Science: How can we make sense of large language model behavior? - Ari Holtzman; Peter West; Luke Zettlemoyer (CoRR, 2023)

Artificial Intelligence and Aesthetic Judgment. - Jessica Hullman; Ari Holtzman; Andrew Gelman (CoRR, 2023)

How FaR Are Large Language Models From Agents with Theory-of-Mind? - Pei Zhou; Aman Madaan; Srividya Pranavi Potharaju; Aditya Gupta; Kevin R. McKee; Ari Holtzman; Jay Pujara; Xiang Ren 001; Swaroop Mishra; Aida Nematzadeh; Shyam Upadhyay; Manaal Faruqui (CoRR, 2023)

CacheGen: Fast Context Loading for Language Model Applications. - Yuhan Liu; Hanchen Li; Kuntai Du; Jiayi Yao; Yihua Cheng; Yuyang Huang; Shan Lu 001; Michael Maire; Henry Hoffmann; Ari Holtzman; Ganesh Ananthanarayanan; Junchen Jiang (CoRR, 2023)

Interpretation Errors: Extracting Functionality from Generative Models of Language by Understanding Them Better - Ari Holtzman (2023)

Nearest Neighbor Speculative Decoding for LLM Generation and Attribution. - Minghan Li 002; Xilun Chen 002; Ari Holtzman; Beidi Chen; Jimmy Lin; Scott Yih; Victoria Lin 002 (NeurIPS, 2024)

Superposed Decoding: Multiple Generations from a Single Autoregressive Inference Pass. - Ethan Shen; Alan Fan; Sarah M. Pratt; Jae Sung Park; Matthew Wallingford; Sham M. Kakade; Ari Holtzman; Ranjay Krishna; Ali Farhadi; Aditya Kusupati (NeurIPS, 2024)

CacheGen: KV Cache Compression and Streaming for Fast Large Language Model Serving. - Yuhan Liu; Hanchen Li; Yihua Cheng; Siddhant Ray; Yuyang Huang; Qizheng Zhang; Kuntai Du; Jiayi Yao; Shan Lu 001; Ganesh Ananthanarayanan; Michael Maire; Henry Hoffmann; et al. (SIGCOMM, 2024)

Predicting vs. Acting: A Trade-off Between World Modeling & Agent Modeling. - Margaret Li; Weijia Shi; Artidoro Pagnoni; Peter West; Ari Holtzman (CoRR, 2024)

Benchmarks as Microscopes: A Call for Model Metrology. - Michael Saxon; Ari Holtzman; Peter West; William Yang Wang; Naomi Saphra (CoRR, 2024)

Byte Latent Transformer: Patches Scale Better Than Tokens. - Artidoro Pagnoni; Ramakanth Pasunuru; Pedro Rodríguez 001; John Nguyen; Benjamin Muller; Margaret Li; Chunting Zhou; Lili Yu; Jason E. Weston; Luke Zettlemoyer; Gargi Ghosh; Mike Lewis; et al. (ACL (1), 2025)

Forking Paths in Neural Text Generation. - Eric J. Bigelow; Ari Holtzman; Hidenori Tanaka; Tomer David Ullman (ICLR, 2025)

MUSE: Machine Unlearning Six-Way Evaluation for Language Models. - Weijia Shi; Jaechan Lee; Yangsibo Huang; Sadhika Malladi; Jieyu Zhao 001; Ari Holtzman; Daogao Liu; Luke Zettlemoyer; Noah A. Smith; Chiyuan Zhang (ICLR, 2025)

AbsenceBench: Language Models Can't Tell What's Missing. - Harvey Yiyun Fu; Aryan Shrivastava; Jared Moore; Peter West; Chenhao Tan; Ari Holtzman (CoRR, 2025)

How Alignment Shrinks the Generative Horizon. - Chenghao Yang 001; Ari Holtzman (CoRR, 2025)

Multiple Streams of Relation Extraction: Enriching and Recalling in Transformers. - Todd Nief; David Reber; Sean Richardson; Ari Holtzman (CoRR, 2025)

Prompting as Scientific Inquiry. - Ari Holtzman; Chenhao Tan (CoRR, 2025)

Linearly Decoding Refused Knowledge in Aligned Language Models. - Aryan Shrivastava; Ari Holtzman (CoRR, 2025)